We are a group of students in Geography 458: Advanced Digital Geographies at the University of Washington. We hope for our final project to identify the impact of poor air quality in general and where in the United States people are experiencing its worst effects. Once our project establishes the causes, correlates, and locations of poor air quality, legislators and regulatory agencies would be able to enact restrictions on industry emissions.
Index and CSS Designer
An undergraduate student majoring in Informatics along with a minor in Data Science. Passionate about data science, data visualization, and how data can tell stories.
Map 1 Designer
An undergrad Geography (GIS) student that loves traveling and has been to 12 countries so far. Excited to see how maps can tell the stories of people moving around the world.
Map 2 Designer
An undergraduate student majoring in Geography: Data Science with a double minor in Informatics and Music. Eager to learn more about the uses of digital mapping and data to create tools that help others.
Map 3 Designer
An undergraduate student majoring in Geography: Data Science with a double minor in Informatics and Music. Fascinated by the capacities of technology and data to help people better understand the world.
Map 4 Designer
Graduating this quarter in Geography: Data Science. Interested in social computing and machine learning. Hopes to produce various models so that it may aid in data storytelling.
The data source for map 1 is from the EPA and introduces air pollution data in the United States and the measurement of AQI. It analyzes counties with the worst air pollution in 2020 and 2010. The map 2 data source is from the EPA and shows 2020 GHG emissions from large facilities in million metric tons CO2e. The primary function of this map is to identify locations of high GHG emissions and the facilities they come from. The map 3 data source is from Global Health Data Exchange and shows United States Chronic Respiratory Disease Mortality Rates by County 1980-2014. The data source for map 4 is from ArcGIS REST Services Directory and shows census tracts with their unemployment rates.
Thank you Professor Zhao and Jiaxin Feng for your assistance with this final project.